Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/36455
Title: | Single cell hydrodynamic stretching and microsieve filtration reveal genetic, phenotypic and treatment-related links to cellular deformability |
Author(s): | Li, Fenfang Cima, Igor Vo, Jess Honganh Tan, Min-Han Ohl, Claus-Dieter |
Issue Date: | 2020 |
Type: | Article |
Language: | English |
URN: | urn:nbn:de:gbv:ma9:1-1981185920-366873 |
Subjects: | Cancer metastasis Deformability Epithelial to mesenchymal transition TP53 genes Microfluidic hydrodynamic stretching Microsieve |
Abstract: | Deformability is shown to correlate with the invasiveness and metastasis of cancer cells. Recent studies suggest epithelial-to-mesenchymal transition (EMT) might enable cancer metastasis. However, the correlation of EMT with cancer cell deformability has not been well elucidated. Cellular deformability could also help evaluate the drug response of cancer cells. Here, we combine hydrodynamic stretching and microsieve filtration to study cellular deformability in several cellular models. Hydrodynamic stretching uses extensional flow to rapidly quantify cellular deformability and size with high throughput at the single cell level. Microsieve filtration can rapidly estimate relative deformability in cellular populations. We show that colorectal cancer cell line RKO with the mesenchymal-like feature is more flexible than the epithelial-like HCT116. In another model, the breast epithelial cells MCF10A with deletion of the TP53 gene are also significantly more deformable compared to their isogenic wildtype counterpart, indicating a potential genetic link to cellular deformability. We also find that the drug docetaxel leads to an increase in the size of A549 lung cancer cells. The ability to associate mechanical properties of cancer cells with their phenotypes and genetics using single cell hydrodynamic stretching or the microsieve may help to deepen our understanding of the basic properties of cancer progression. |
URI: | https://opendata.uni-halle.de//handle/1981185920/36687 http://dx.doi.org/10.25673/36455 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Sponsor/Funder: | DFG-Publikationsfonds 2020 |
Journal Title: | Micromachines |
Publisher: | MDPI |
Publisher Place: | Basel |
Volume: | 11 |
Issue: | 5 |
Original Publication: | 10.3390/MI11050486 |
Page Start: | 1 |
Page End: | 13 |
Appears in Collections: | Fakultät für Naturwissenschaften (OA) |
Files in This Item:
File | Description | Size | Format | |
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Li et al._Single cell_2020.pdf | Zweitveröffentlichung | 1.94 MB | Adobe PDF | View/Open |